SKU: 41674969185
air plant necklace

air plant necklace Air Plant Crystal Pyramid Terrarium Necklace (3 Types: Rose Quartz, Cl – AirPlantNina Symbiotic Living Jewelry

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Description

air plant necklace Air Plant Crystal Pyramid Terrarium Necklace (3 Types: Rose Quartz, Cl – AirPlantNina Symbiotic Living JewelryThis necklace is ALIVE! Now it emits RAINBOWS! Crystal Pyramids and Air Plants together amplify your positive energy. Air Plants are gently cradled securely in their geometric terrarium temple frame dangling from an adjustable length necklace. Thrive with your Symbiotic Style! , , ' ! : As Originators of Air Plant Jewelry, we have cultivated unique and superior designs, perfected over 5 years for optimal plant health and a beautiful style! : . , in

This necklace is ALIVE! Now it emits RAINBOWS! Crystal Pyramids and Air Plants together amplify your positive energy.✨ Air Plants are gently cradled securely in their geometric terrarium temple frame dangling from an adjustable length necklace. Thrive with your Symbiotic Style! 🦋

𝐀𝐢𝐫 𝐏𝐥𝐚𝐧𝐭 𝐉𝐞𝐰𝐞𝐥𝐫𝐲 𝐁𝐫𝐞𝐚𝐭𝐡𝐞 𝐚𝐧𝐝 𝐆𝐫𝐨𝐰 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮 🌱
𝗪𝐡𝐞𝐧 𝐲𝐨𝐮 𝗪𝐞𝐚𝐫, 𝐓𝐡𝐞𝐲 𝐠𝐞𝐭 𝐀𝐢𝐫,⁣ 𝐓𝐡𝐚𝐭'𝐬 𝐇𝐨𝐰 𝐭𝐨 𝐄𝐚𝐬𝐲 𝐂𝐚𝐫𝐞!™⁣

𝐀𝐃𝐕𝐀𝐍𝐂𝐄𝐃 𝐃𝐄𝐒𝐈𝐆𝐍: As Originators of Air Plant Jewelry, we have cultivated unique and superior designs, perfected over 5 years for optimal plant health and a beautiful style!

𝐃𝐄𝐓𝐀𝐈𝐋𝐒 𝐎𝐅 𝐍𝐄𝐂𝐊𝐋𝐀𝐂𝐄:⁣⁣
🌿𝟏. 𝐀𝐢𝐫 𝐏𝐥𝐚𝐧𝐭𝐬 𝐚𝐫𝐞 𝐒𝐞𝐜𝐮𝐫𝐞𝐥𝐲 𝐂𝐫𝐚𝐝𝐥𝐞𝐝, 𝐘𝐞𝐭 𝐈𝐧𝐭𝐞𝐫𝐜𝐡𝐚𝐧𝐠𝐞𝐚𝐛𝐥𝐞 in their Signature Geometric Terrarium Temples. No Glue, Durable design! Swap plants in and out easily, so your jewelry lives forever.⁣⁣⁣⁣⁣⁣
🌿𝟐. 𝐅𝐫𝐞𝐬𝐡 𝐧' 𝐇𝐞𝐚𝐥𝐭𝐡𝐲 𝐏𝐥𝐚𝐧𝐭𝐬: Air Plants live more than 5+ years!⁣⁣⁣⁣⁣⁣
🌿𝟑. 𝐉𝐞𝐰𝐞𝐥𝐫𝐲 𝐢𝐬 𝐋𝐢𝐠𝐡𝐭-𝗪𝐞𝐢𝐠𝐡𝐭 𝐥𝐢𝐤𝐞 𝐚 𝐅𝐞𝐚𝐭𝐡𝐞𝐫 on your body.⁣⁣
🌿𝟒. 𝐆𝐞𝐧𝐮𝐢𝐧𝐞 𝐂𝐫𝐲𝐬𝐭𝐚𝐥 𝐏𝐲𝐫𝐚𝐦𝐢𝐝𝐬 securely wire-wrapped
🌿𝟓. 𝐀𝐢𝐫 𝐏𝐥𝐚𝐧𝐭 𝐓𝐞𝐫𝐫𝐚𝐫𝐢𝐮𝐦 is 3.5cm by 7cm drop length⁣
🌿𝟔. 𝐀𝐝𝐣𝐮𝐬𝐭𝐚𝐛𝐥𝐞 𝐥𝐞𝐧𝐠𝐭𝐡 𝐧𝐞𝐜𝐤𝐥𝐚𝐜𝐞 (Hemp Cord) ⁣⁣
🌿𝟕. 𝐄𝐱𝐪𝐮𝐢𝐬𝐢𝐭𝐞 𝐔𝐧𝐢𝐪𝐮𝐞 𝐁𝐞𝐚𝐝𝐬 ⁣
🌿𝟖. 𝐂𝐡𝐨𝐢𝐜𝐞 𝐨𝐟 𝟑 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐏𝐲𝐫𝐚𝐦𝐢𝐝𝐬: Clear Quartz, Rose Quartz, Lapis Lazuli.⁣
🌱Due to the organic, living, & handmade nature of each item, please expect some minor degree of variations from the product images.⁣

𝐒𝐈𝐆𝐍𝐈𝐅𝐈𝐂𝐀𝐍𝐂𝐄 𝐎𝐅 𝐂𝐑𝐘𝐒𝐓𝐀𝐋 𝐏𝐘𝐑𝐀𝐌𝐈𝐃𝐒:
Pyramids concentrate electromagnetic energy, and Crystal Quartz amplifies divine heart energy~ The crystal pyramid necklace on your chest helps to accentuate higher intentions. Pyramids are seen in Ancient Civilizations from Africa, to South America, to Asia. Why is that? It’s because Pyramids have the powerful ability to channel & collect energy from the higher realms of the stars, the planets and the Universe and deliver it down to Earth. Quartz is known as the "Master Healer" that amplifies energy, is programmable, unlocks memory, enhances psychic abilities, and defends against EMF waves. Wearing this the crystal on your chest will amplify divine heart energy and helps with manifestation when it is programmed with your prayers.

𝐂𝐎𝐌𝐏𝐋𝐄𝐌𝐄𝐍𝐓𝐀𝐑𝐘 𝐈𝐓𝐄𝐌𝐒 𝐈𝐍𝐂𝐋𝐔𝐃𝐄𝐃 𝐈𝐍 𝐁𝐎𝐗! ⁣⁣⁣
💚Quality glass Alche(MIST) Bottle for the plants!⁣⁣
💚Extra Replacement Plant (Plants can be interchanged!)⁣⁣
💚Sustainable Packaging: Re-used or Biodegradable Mailers Only!

𝐒𝐔𝐏𝐄𝐑 𝐄𝐀𝐒𝐘 𝐂𝐀𝐑𝐄 𝐓𝐈𝐏𝐒:
1. Mist/Spray water 2x a week (3 spritz each)
2. Wear them on a walk outdoors! Air plants THRIVE on fresh Air.

𝐒𝐘𝐌𝐁𝐈𝐎𝐓𝐈𝐂 𝐑𝐄𝐋𝐀𝐓𝐈𝐎𝐍𝐒𝐇𝐈𝐏:
When you take care of your air plant adornments, they take care of you too! Air Plants are known to purify air around you, so it’s a win-win relationship.🍃💚 Feel the Oxygen-exchange!

𝐅𝐄𝐄𝐋 𝐓𝐇𝐑𝐈𝐕𝐈𝐍𝐆☀️
Wearing Plants will Boost your Positive Energy, Health, & Luminosity.

𝐀𝐓𝐓𝐑𝐀𝐂𝐓 𝐘𝐎𝐔𝐑 𝐓𝐑𝐈𝐁𝐄 (𝐓𝐑𝐈𝐁𝐄 𝐌𝐀𝐆𝐍𝐄𝐓)✨
⁣⁣Those adorned in our Air Plant Jewelry receive an Average of 5 compliments a day (experiences of myself & friends). They also attract people of similar Good Vibes, and are a great conversation starter. These small things add up to positive social change. Your Style CAN be symbiotic with planet Earth 💚

𝐎𝐔𝐑 𝐌𝐈𝐒𝐒𝐈𝐎𝐍: To kindle a greater relationship to nature in our daily life and to revive our sacred, harmonious, and symbiotic relationship with Earth. Our jewelry is a statement that fashion does NOT have to be destructive to the planet. You are part of a movement, and your Symbiotic Living style will reverberate & ripple in bigger ways to shift perspectives and regenerate our beautiful planet! 🌍⁣⁣

⁣⁣𝐓𝐇𝐄 𝐏𝐄𝐑𝐅𝐄𝐂𝐓 𝐆𝐈𝐅𝐓 🎁
🎁 𝐘𝐨𝐮 𝐚𝐫𝐞 𝐥𝐢𝐭𝐞𝐫𝐚𝐥𝐥𝐲 𝐠𝐢𝐯𝐢𝐧𝐠 𝐥𝐢𝐟𝐞! 🌱
🎁 Recipient will forever think of you on their plant journey
🎁The item is carefully boxed & Packaged for safe travels!
🎁Hand-crafted in San Francisco/Hawaii with love!

©2018 Wiz Amulets • All Rights Reserved⁣ on Designs.


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SKU: 41674969185

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Carol
Lowell, US
★★★★★ 5
Need to read book
Format: Hardcover
The truth about the Native people. THANK YOU Kent for writing this book. We purchased about 12 total.
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Reviewed in the United States on November 24, 2019
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Walter Echo-Hawk, author of THE SEA OF GRASS.
Louisville, US
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
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Par
West Palm Beach, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024
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Richard Hackathorn
Carnegie, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
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Reviewed in the United States on February 26, 2022
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Verified Purchase
Amazon Customer
San Leandro, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025

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